Variables Reduction in Sequential Resource Allocation Problems
| Autor: | Tiziano Vargiolu, Juri Hinz |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Operations research
Computer science storage valuation lcsh:Technology Industrial and Manufacturing Engineering Artificial Intelligence 0502 economics and business dynamic programming battery control storage valuation 050207 economics battery control Valuation (finance) dynamic programming 050208 finance lcsh:T lcsh:T57-57.97 Applied Mathematics 05 social sciences Decision problem Pension fund Human-Computer Interaction Dynamic programming Decision variables Control and Systems Engineering lcsh:Applied mathematics. Quantitative methods Battery storage Information Systems |
| Zdroj: | Applied System Innovation Volume 3 Issue 2 Applied System Innovation, Vol 3, Iss 21, p 21 (2020) |
| ISSN: | 2571-5577 |
| DOI: | 10.3390/asi3020021 |
| Popis: | This paper presents a general framework to address diverse notoriously difficult problems arising in the area of optimal resource management, exploitation of natural reserves, pension fund valuation, environmental protection, and storage operation. Using some common abstract features of this problem class, we present a technique which provides a significant reduction of decision variables. As an application, we discuss a battery storage control to show how a decision problem, which is practically unsolvable in the original formulation, can be treated by our method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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